Relevance Rank Platform (RRP) for Functional Filtering of High Content Protein-Protein Interaction Data.

ABSTRACT: High content protein interaction screens have revolutionized our understanding of protein complex assembly. However, one of the major challenges in translation of high content protein interaction data is identification of those interactions that are functionally relevant for a particular biological question. To address this challenge, we developed a relevance ranking platform (RRP), which consist of modular functional and bioinformatic filters to provide relevance rank among the interactome proteins. We demonstrate the versatility of RRP to enable a systematic prioritization of the most relevant interaction partners from high content data, highlighted by the analysis of cancer relevant protein interactions for oncoproteins Pin1 and PME-1. We validated the importance of selected interaction

SUBMITTER: Pokharel YR 

PROVIDER: S-EPMC4762622 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature